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Standards Database

Find information on AI-related standards using the search and filtering capabilities below. This database currently covers nearly 300 relevant standards that are being developed or have been published by a range of prominent Standards Development Organisations.

Hover over the filter categories here to learn more about them:

Domain The industry or sector that the standard covers (e.g. Energy).

Type of standard Whether the standard covers terminology, processes, performance requirements or measurement requirements.
Application The type of technology, method or application covered by the standard. (E.g. Natural language processing)

Stage of development If the standards is pre-draft, draft or published.
Scope Whether the standard is focused entirely on AI, or is adjacent to AI.

Issuing body The standards body or organisation that issued the standard.
Topic The theme, principle or area covered by the standard (e.g. bias and discrimination).

Committee The standards committee that developed this standard.
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This document builds upon the information provided in ISO/IEC TR 24714-1, ISO/IEC TR 29194 and ISO/IEC 29138-1 in order to highlight in a more detailed way the medical, physical and cognitive aspects that are specific for the use of biometrics…
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This document specifies the terms and definitions commonly used in the field of Brain-computer Interface (BCI), including basic concepts and classifications of BCI, hardware, experiment setups and protocols used in BCI, related neuroscience concepts of BCI (e.g., coding and decoding,…
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Standards Body: IEC
Last updated: 7 Jan 2025
This document describes the history of biometrics and what biometrics does, the various biometric technologies in general use today (for example, fingerprint recognition and face recognition) and the architecture of the systems and the system processes that allow automated recognition…
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PD ISO/IEC TR 24714-1 is a Technical Report (TR) that offers guidance on the design of systems that use biometric technologies to capture, process and record biometric information. It sets out the societal, cultural and ethical issues related to the…
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This document establishes requirements for development of biometric solutions for verification and identification processes for secure access without physical contact with any device at any time. The solution acquires the biometric characteristics that are captured while the data subjects are…
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This document describesĀ big dataĀ relevant standards, both in existence and under development, along with priorities for futureĀ big dataĀ standards development based on gap analysis. Ā© ISO/IEC 2022 All rights reserved
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This document specifies the security and privacy aspects applicable to the big data reference architecture (BDRA) including the big data roles, activities and functional components and also provides guidance on security and privacy operations for big data. Ā© ISO/IEC 2022…
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This document provides a collection of representative use cases of AI applications in a variety of domains. ©ISO/IEC 2022. All rights reserved.
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This document provides examples of big dataĀ use casesĀ with application domains and technical considerations derived from the contributedĀ use cases Ā© ISO/IEC 2022 All rights reserved
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What is ISO/IEC TR 20547-1 about? ISO/IEC TR 20547-1 is an international standard on artificial Intelligence which includes task performance that normally requires human intelligence. ISO/IEC TR 20547-1 is the first part in the multi-series of documents that describes the…
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This document provides an overview of the state of the art of computational approaches for AI systems, by describing: a) main computational characteristics of AI systems; b) main algorithms and approaches used in AI systems, referencing use cases contained in…
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What is ISO/IEC TR 24027 about?  ISO/IEC TR 24027 addresses bias in relation to AI systems, especially with regard to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities.…
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This document provides mitigation techniques that can be applied throughout the AI system life cycle in order to treat unwanted bias. This document describes how to address unwanted bias in AI systems that use machine learning to conduct classification and…
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